Antonio Torralba
Antonio Torralba’s research addresses how a machine can interpret an image. His work uses the wider scene to help identify the objects within it. Torralba developed an interest in computer vision during his doctorate in Grenoble. Torralba developed systems that use information from an entire image to identify individual objects. Their context helps reduce the range of possible interpretations.
- Works
- 580
- Citations
- 102,102
- h-index
- 127
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2011
Objects in context
Torralba developed systems that use information from an entire image to identify individual objects. Their context helps reduce the range of possible interpretations.
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2011
Building visual data
Torralba and his team built a visual dictionary that also served as a database of images they collected for training vision systems.
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2021
Research recognition
AAAI elected Antonio Torralba as a Fellow in 2021.
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As of October 2026
Doctoral work on vision
Torralba developed an interest in computer vision during his doctorate in Grenoble.
Sources and credits
Photo: M. Scott Brauer; source: MIT News. License: Not stated by source. Source: news.mit.edu. Cropped to a square and resized. Ask us to remove or replace this photo.